Direction of Arrival Estimation Algorithm Based on Radial Basis Function Neural Network
Abstract：Against the problem of the large amount of calculation and inability to track targeted sources real-time and to locate sources that are greater than the number of array elements number with traditional DOA estimation algorithm, a new direction of arrival estimation algorithm based on radial basis function neural network (RBFNN) in smart antenna is proposed in this paper. The proposed neural multiple-source tracking (N-MUST) algorithm is based on probabilistic neural network and general regression neural net- work to perform both detection and direction of arrival estimation. The model of neural network in direc- tion of arrival estimation is established and trained in this paper. Simulation results, which compared the traditional algorithm and the new one, indicate that the direction of arrival estimation algorithm based on RBFNN implement multiple-source tracking exactly and fast.
Keywords：smart antennaprobabilistic neural networkgeneral regression neural networkDOA es- timationradial basis function neural network
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 6-10 )